agent-course-gaia / basic_agent.py
kirbah's picture
added LiteLLMModel support
6e10d57
raw
history blame
1.23 kB
import os
from smolagents import ToolCallingAgent, DuckDuckGoSearchTool, InferenceClientModel, LiteLLMModel
class BasicAgent:
def __init__(self):
print("BasicAgent initialized.")
def __call__(self, question: str) -> str:
print(f"Agent received question (first 50 chars): {question[:50]}...")
model = LiteLLMModel(model_id="groq/deepseek-r1-distill-llama-70b",
api_key=os.getenv("GROQ_API_KEY"))
agent = ToolCallingAgent(
tools=[DuckDuckGoSearchTool()],
model=model,
max_steps=5,
name="web_agent",
description="Web Search Agent",
verbosity_level=2
)
answer = agent.run(
f"""
Answer the question using the tools provided. If you need to search the web, use the DuckDuckGoSearchTool.
If you find relevant information, use it to answer the question. Do not make up answers.
If you cannot find an answer, respond with 'I don't know'. Provide only the final answer, not the steps taken.
Question: {question}
"""
)
print(f"Agent returning answer: {answer}")
return answer